Physics-Informed ML

ML: Machine Learning

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60 papers in the last four weeks, up 131% on the four weeks before. 0.6% of all new papers.

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  1. DeSeG: Decoupling Semantic Intent and Geometric Constraints for Physically Plausible Human-Scene Interaction

    Jul 7, 2026Jiakun Li, Zhe Li, Wenqiang Wu +4Text-to-Motion GenerationHuman Motion Generation

    1Southern University of Science and Technology · 1Wenqiang Wu1 · 1Zheng Chang1 +3

  2. Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors

    Jul 6, 2026Abinav Kalyanasundaram, Karthikeyan Chandra Sekaran, Wolfgang Utschick +1Kalman FilteringPhysics-Informed ML

    AImotion Bavaria, Technische Hochschule Ingolstadt, Germany · Technische Universität München, Germany

  3. Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks

    Jul 6, 2026Tancredi Schettini Gherardini, Edward Hirst, Alexander George StapletonPDE SolvingPhysics-Informed ML

    Instituto de Matemática, Estatística e Computação Científica (IMECC) da Universidade Estadual de Campinas (UNICAMP), 13083-859, Brasil · Mathematisches Institut (MI), University of Bonn, Bonn, Germany · Max Planck Institute for Mathematics, Bonn, Germany +1

  4. Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach

    Jul 6, 2026Qian Hu, Bin Fan, Yao Xiao +2Transfer LearningPhysics-Informed ML

    School of Computing and Data Science, Fujian University of Technology, Fuzhou, 350118, Fujian, China

  5. Physics-Informed Structure Anchoring With Capture-Aware Prototype Calibration for Cross-Environment RF Fingerprinting

    Jul 6, 2026Fengchong Yao, Jianbing Li, Qing Liu +4Domain AdaptationWireless Communications

    School of Information Systems Engineering, Information Engineering University, Zhengzhou 450001, China.

  6. Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder

    Jul 6, 2026Ana Fernandez-Navamuel, A. Javier Omella, Diego Zamora-Sanchez +1Variational AutoencodersUncertainty Quantification

    Basque Center for Applied Mathematics (BCAM), Bilbao, Spain. · Departamento de Matematica Aplicada, Universidad de Zaragoza/IUMA, Zaragoza, Spain. · TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Cientifico y Tecnologico de Bizkaia, Astondo bidea, Edificio 700, Derio, E-48160, Spain. +1

  7. A Physics-Regulated Neural Framework for Learning 3D Grain Growth Dynamics

    Jul 6, 2026Zhihui Tian, Kang Yang, Michael Tonks +2Neural Surrogate ModelingMaterials Science

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA · Department of Materials Science Engineering, University of Florida, Gainesville, FL, USA · Department of Materials Science Engineering, University of Florida, Carnegie Mellon University, Pittsburgh, PA, USA

  8. Integrated Forward-Inverse Network for Lensless Image Reconstruction

    Jul 6, 2026Donggeon Bae, Jaewoo Jung, Yong Guk Kang +6Image ReconstructionComputational Imaging

    Department of Mechanical Engineering, Seoul National University, Republic of Korea · School of Mechanical and Aerospace Engineering/SNU-IAMD, Seoul National University, Republic of Korea · Department of Electrical and Electronic Engineering, Yonsei University, Republic of Korea +1

  9. CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws

    Jul 5, 2026Adnan Harun Doğan, Mert Deniz, Hande Alemdar +1PDE Surrogate ModelingPhysics-Informed ML

    Dept. of Computer Engineering Middle East Technical University Ankara, Turkey · Dept. of Mechanical Engineering Middle East Technical University Ankara, Turkey

  10. Physics-Informed Graph Learning with Uncertainty Awareness for Open-Set Domain Generalization in Fault Diagnosis

    Jul 5, 2026Jinfeng Zhu, Shiyu Long, Ye YuanUncertainty QuantificationDomain Generalization

    College of Computer and Information Science, Southwest University, Tiansheng Road, Chongqing, 400715, China

  11. Transformers with Physics-Informed Encodings and Simulation-Based Inference for Robust Detection of Eccentric Binary Black Holes in Pulsar Timing Array Data

    Jul 4, 2026Subhajit Dandapat, Alvin J. K. ChuaGravitational-Wave AstronomyTransformer

    Department of Physics, National University of Singapore, 21 Lower Kent Ridge Road, Singapore 119077 · Department of Mathematics, National University of Singapore, Singapore 119076

  12. LRX-PINN: A Layer-Resolving XNet Physics-Informed Neural Network with Integrated Cauchy Activations for Convection-Dominated Problems

    Jul 4, 2026Zihao Guo, Xin Li, Zhihong XiaNeural PDE SolversPDE Solving

    Institute for Advanced Research, Great Bay University, Dongguan, China · College of Computer Science and Technology, Dongguan University of Technology, Dongguan, China · Department of Mathematics, Northwestern University, Evanston, USA

  13. Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan HuberRL ControlReinforcement Learning

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Salzburg, Austria · Paris Lodron University of Salzburg, Salzburg, Austria

  14. Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications

    Jul 2, 2026M. Doris, S. Guo, S. M. Koh +5Object DetectionPhysics-Informed ML

    National Institute of Standards and Technology, Gaithersburg, MD 20899, USA · Joint Quantum Institute and University of Maryland, College Park, MD 20742, USA · Department of Physics and Astronomy, Amherst College, Amherst, MA 01002, USA +1

  15. An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks

    Jul 2, 2026Joseph Webb, Sadok Jerad, Coralia CartisGauss-Newton OptimizationPDE Solving

    Mathematical Institute, University of Oxford, Oxford, United Kingdom

  16. Quantum-Inspired Vision: Leveraging Wave-Particle Duality for Low-Illumination Enhancement

    Jul 2, 2026Yiquan GaoExplainable Artificial IntelligenceLow-Light Image Enhancement

    Heriot-Watt University

  17. Frequency Shift Physics-Informed Extreme Learning Machine for Solving High-Frequency Partial Differential Equations

    Jul 2, 2026Xiong Xiong, Ruonan Zhai, Zheng Zeng +3PDE SolvingFrequency-Domain Feature Learning

    School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, 710072, China · MIIT Key Laboratory of Dynamics and Control of Complex Systems, Northwestern Polytechnical University, Xi’an, 710072, China · College of Science, Shijiazhuang University, Shijiazhuang, 050035, China +2

  18. UniWind: Toward Unified Day-Ahead Wind Power Forecasting via Physics-Informed State Routing

    Jul 2, 2026Ronghui Xu, Tongxin Wu, Guozhen Zhang +4Time Series ForecastingPhysics-Informed ML

    East China Normal University, Shanghai, China · Southern University of Science and Technology, Shenzhen, China · TsingRoc.ai, Beijing, China +1

  19. A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dynamics Prediction

    Jul 1, 2026Xin-Yang Liu, Xiantao Fan, Jian-Xun WangNeural PDE SolversPDE Surrogate Modeling

    Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA · Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA

  20. RenderFormer++: Scalable and Physically Grounded Feed-Forward Neural Rendering

    Jun 29, 2026Huangsheng Du, Haoran Zhu, Youcheng Cai +2Neural RenderingEfficient ViTs

    University of Science and Technology of China, China

  21. Physically-Constrained Harmonic Separation for Robust Heart and Respiratory Rate Estimation from Wrist Photoplethysmography

    Jun 29, 2026Nouhaila Fraihi, Ouassim Karrakchou, Mounir GhoghoHeart Rate EstimationPhysics-Informed ML

    1TICLab, International University of Rabat, Morocco · College of Computing, Mohammed VI Polytechnic University, Morocco · Faculty of Engineering, University of Leeds, UK

  22. Gravitational Duals from Equations of State II: Large Hierarchies and False Vacua

    Jun 29, 2026Raul Jimenez, David Mateos, Pavlos Protopapas +3High-Energy PhysicsPhysics-Informed ML

    Institut de Ciències del Cosmos (ICC), Universitat de Barcelona, Martí i Franquès 1, ES-08028, Barcelona, Spain. · Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, ES-08010, Barcelona, Spain. · Institute for Applied Computational Science, Harvard University, Cambridge, MA.

  23. Implementation of Hyperelastic Physics-Augmented Neural Networks in the Explicit Finite Element Codes Simcenter Radioss and OpenRadioss with Applications to Impact Events

    Jun 29, 2026Lukas Maurer, Sascha Eisenträger, Marian Bulla +1Neural Surrogate ModelingEfficient Neural Network Inference

    Institute of Materials, Technologies and Mechanics Otto von Guericke University Magdeburg Magdeburg, D-39106 · Siemens Digital Industries Am Kabellager 9 Köln, D-51063

  24. Self-Supervised Calibration of Scientific Instruments Using Physical Consistency Constraints

    Jun 28, 2026M. Rejmund, A. LemassonSelf-Supervised LearningPhysics-Informed ML

    GANIL, CEA/DRF - CNRS/IN2P3, Bd Henri Becquerel, BP 55027, F-14076, Caen Cedex 5, France

  25. PCGD: Physics-Guided Conditional Graph Diffusion for TCAD Device Simulation

    Jun 28, 2026Yihan Zhang, Zhiteng Zhang, Kun Chen +1PDE Surrogate ModelingPhysics-Informed ML

  26. Physics-Grounded Disentangled Flow Modeling for Brain Disease Progression Trajectory

    Jun 26, 2026Jun Wang, Peirong LiuFlow MatchingLongitudinal Medical Image Analysis

    Department of Electrical and Computer Engineering, Data Science and AI Institute, Johns Hopkins University

  27. Physics-Informed Neural Network with Transfer Learning for State Estimation in Lithium-Ion Batteries using the Single Particle Model with Electrolyte

    Jun 26, 2026Gift Modekwe, Qiugang LuPDE Surrogate ModelingTransfer Learning

    Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA

  28. Recovering Sharp Conductivity Features in the Finite-Data Calderón Problem with Physics-Informed Neural Networks

    Jun 26, 2026Ali AlHadi Kalout, Pablo Tejerina-Pérez, Konstantin Karchev +5Fourier Feature EmbeddingsImage Reconstruction

    Institut de Ciències del Cosmos (ICCUB), Universitat de Barcelona, Martí i Franquès 1, ES-08028, Barcelona, Spain · Departament de Física Quàntica i Astrofísica, Universitat de Barcelona, Martí i Franquès 1, ES-08028, Barcelona, Spain · ICREA, Pg. Lluis Companys 23, 08010, Barcelona, Spain +2

  29. Physics-constrained neural networks for surrogate modeling of lossless periodic structures

    Jun 26, 2026Eric Prehn, Peter JungNeural Surrogate ModelingPhysics-Informed ML

    Institute of Space Research, German Aerospace Center (DLR), Berlin, Germany

  30. Physics-Guided Robotic Radiation Source Localization along Arbitrary Measurement Paths in Unstructured Environments

    Jun 26, 2026Hojoon Son, Kai Tan, Fan ZhangPhysics-Informed MLRobot Localization

    George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332-0405 USA